d6_cubes_test1 Computer Vision Dataset

bybelaaaaarTask:
Object Detection
License:CC BY 4.0146 views21 downloads

About d6_cubes_test1 Dataset

Here are a few use cases for this project:

  1. Gaming Industry: The "d6_cubes_test1" model can be utilized in the gaming industry, specifically for dice-based online games. It can help automate the interpretation of the game results based on dice colors and numbers, enhancing the automation process in games like Ludo, Backgammon, or Yahtzee.

  2. Augmented Reality Games: This computer vision model could be applicable in augmented reality (AR) games where real-world dice rolls are recognized and translated into in-game actions.

  3. Education and Learning: It can be used in educational applications to teach children about numbers and colors. By integrating this model into an interactive learning app, it can help children to identify and learn different colors and numbers creatively.

  4. Inventory Management: In board game or toy stores, this model can assist in inventory management. It can provide an accurate count of different colored dice with distinct numbers, helping to maintain accurate inventory records.

  5. Accessibility Tools: The model can be utilized to develop accessibility tools for visually impaired individuals. For instance, a tool that uses this model, upon pointing the camera at the dice, could vocalize the identified dice number and color to the user. This could make games involving dice more accessible to people with visual impairments.

Use Free Laptop, B1 and B2 Detection API

Powered by general detection model

Code
pip install inference-sdk
# 1. Import the library
from inference_sdk import InferenceHTTPClient

# 2. Connect to your workspace
client = InferenceHTTPClient(
  api_url="https://serverless.roboflow.com",
  api_key="API_KEY"
)

# 3. Run your workflow on an image
result = client.run_workflow(
  workspace_name="<YOUR_WORKSPACE>",
  workflow_id="<YOUR_WORKFLOW_ID>",
  images={
    "image": "YOUR_IMAGE.jpg"  # Path to your image file
  },
  parameters={
    "classes": "laptop, b1, b2, b3, b4"
  },
  use_cache=True  # cache workflow definition for 15 minutes
)

# 4. Get your results
print(result)

Run on custom image

Drop an image here or click to upload

Detecting classes:
Or try a test image 

Cite This Project

LicenseCC BY 4.0

If you use this dataset in a research paper, please cite it using the following BibTeX:

@misc{ d6_cubes_test1_dataset,
  title = { d6_cubes_test1 Dataset },
  type = { Open Source Dataset },
  author = { belaaaaar },
  howpublished = { \url{ https://universe.roboflow.com/belaaaaar/d6_cubes_test1 } },
  url = { https://universe.roboflow.com/belaaaaar/d6_cubes_test1 },
  journal = { Roboflow Universe },
  publisher = { Roboflow },
  year = { 2022 },
  month = { may },
  note = { visited on 2026-07-29 },
}

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